Position: Quantitative Analytics Specialist 3 - Front Office Financial Engineer A dynamic organisation seeks an experienced Quantitative Analytics Specialist 3 - Front Office Financial Engineer to take on a multifaceted and impactful role. This is an opportunity to be part of a purpose-driven team reshaping industry standards and best practices. Primary Duties and Responsibilities: Design data models and schemas optimised for analytical and high-performance workloads. Optimise SQL queries, stored procedures, and database performance across environments. Train, evaluate, and deploy machine learning models across classification and regression tasks. Develop scalable data engineering pipelines to ingest, transform, and serve data. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Publish insights, model performance reports, and data science findings to leadership. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Ensure compliance with data governance, privacy regulations, and security standards. Required Qualifications: Strong interpersonal and stakeholder management skills with a client-service orientation. Detail-oriented mindset with the ability to synthesise and present complex information clearly. Proficiency in relevant software and digital tools specific to the functional area. Commitment to ongoing professional learning and industry knowledge enhancement. At least 24 years of hands-on experience in a comparable professional setting. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We value talent and invest in our people this role offers both professional challenge and meaningful rewards.